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--- |
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base_model: sentence-transformers/all-MiniLM-L12-v2 |
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datasets: |
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- s2orc |
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- flax-sentence-embeddings/stackexchange_xml |
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- ms_marco |
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- gooaq |
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- yahoo_answers_topics |
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- code_search_net |
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- search_qa |
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- eli5 |
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- snli |
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- multi_nli |
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- wikihow |
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- natural_questions |
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- trivia_qa |
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- embedding-data/sentence-compression |
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- embedding-data/flickr30k-captions |
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- embedding-data/altlex |
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- embedding-data/simple-wiki |
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- embedding-data/QQP |
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- embedding-data/SPECTER |
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- embedding-data/PAQ_pairs |
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- embedding-data/WikiAnswers |
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language: en |
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library_name: sentence-transformers |
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license: apache-2.0 |
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pipeline_tag: sentence-similarity |
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tags: |
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- sentence-transformers |
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- feature-extraction |
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- sentence-similarity |
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- transformers |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# sheldonrobinson/all-MiniLM-L12-v2-Q8_0-GGUF |
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This model was converted to GGUF format from [`sentence-transformers/all-MiniLM-L12-v2`](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) for more details on the model. |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo sheldonrobinson/all-MiniLM-L12-v2-Q8_0-GGUF --hf-file all-minilm-l12-v2-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo sheldonrobinson/all-MiniLM-L12-v2-Q8_0-GGUF --hf-file all-minilm-l12-v2-q8_0.gguf -c 2048 |
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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo sheldonrobinson/all-MiniLM-L12-v2-Q8_0-GGUF --hf-file all-minilm-l12-v2-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo sheldonrobinson/all-MiniLM-L12-v2-Q8_0-GGUF --hf-file all-minilm-l12-v2-q8_0.gguf -c 2048 |
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``` |
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